{"id":"W1989500255","doi":"10.1109/vppc.2012.6422761","title":"Anticipatory control of a PEM fuel cell for a serial Hybrid Electric Vehicle","year":2012,"lang":"en","type":"article","venue":"","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Proton exchange membrane fuel cell; Automotive engineering; Battery (electricity); Power (physics); Electric vehicle; Energy management; Computer science; Fuel cells; Track (disk drive); Energy (signal processing); Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003207936,0.0004307124,0.0002970072,0.0001260877,0.0003418418,0.0005184144,0.0004622485,0.0004442048,0.001466778],"category_scores_gemma":[0.0004786325,0.0001784926,0.0002249408,0.0001126496,0.0003754142,0.000275207,0.0004028017,0.0004294886,0.00009575243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003516137,"about_ca_system_score_gemma":0.0003501509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004700322,"about_ca_topic_score_gemma":0.003374793,"domain_scores_codex":[0.9999163,0.00001585099,0.00000508136,0.00002427184,0.0000256492,0.00001277522],"domain_scores_gemma":[0.9998524,0.00006195874,0.00003156917,0.000007333379,0.00003550127,0.00001113809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003119759,0.0001006235,0.0007479222,0.0001216316,0.00003396018,0.0002447604,0.00009538749,0.9348155,0.02779462,0.004777594,0.000461993,0.03049399],"study_design_scores_gemma":[0.00001535839,0.0001311083,0.000156499,0.000003538408,0.000009529117,0.00001559694,0.00001011371,0.9957639,0.002944619,0.0005436327,0.0004012744,0.000004727253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3525909,0.0005805485,0.6333997,0.0005022367,0.0001472121,0.00009781931,0.00006665565,0.0002772051,0.01233764],"genre_scores_gemma":[0.9928789,0.00006662669,0.005327731,0.00001713773,0.000006635501,0.00002140136,0.00001012569,0.000002510813,0.001668941],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004700322,"threshold_uncertainty_score":0.009345949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007444393969541753,"score_gpt":0.1956785165323948,"score_spread":0.1882341225628531,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}